Metlife (MET) Operating Interest Expenses (2009 - 2026)
Metlife (MET) recorded Operating Interest Expenses of $3.07 billion in Q2 2026, up 27.8% from $2.4 billion a year earlier and up 83.2% from the prior quarter.
Metlife (MET) Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Metlife's Operating Interest Expenses came in at $9.64 billion as of Jun 30, 2026, up 19.1% year-over-year; for FY2025, it came in at $8.95 billion, up 7.3% from FY2024.
- Annual Operating Interest Expenses has increased for three straight years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Across earlier years, Operating Interest Expenses came in at $8.34 billion in FY2024 (+6.1%), $7.86 billion in FY2023 (+101.8%), $3.89 billion in FY2022 (-30.1%) and $5.57 billion in FY2021 (+6.8%).
- The Q2 2026 figure is the highest quarterly Operating Interest Expenses in data going back to Q1 2009.
- On a year-over-year basis, Operating Interest Expenses has increased for five consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Operating Interest Expenses in the last five years was growth of 266.8% in Q2 2023, against a decline of 65.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.67 billion (Q1 2026), $2.34 billion (Q4 2025) and $2.56 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Allstate | 56.37 Bn | 17.62 Bn | 8.73 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.07 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 2.34 Bn |
| Sep 30, 2025 | 2.56 Bn |
| Jun 30, 2025 | 2.40 Bn |
| Mar 31, 2025 | 1.65 Bn |
| Dec 31, 2024 | 2.01 Bn |
| Sep 30, 2024 | 2.04 Bn |
| Jun 30, 2024 | 2.00 Bn |
| Mar 31, 2024 | 2.29 Bn |
| Dec 31, 2023 | 2.41 Bn |
| Sep 30, 2023 | 1.66 Bn |
| Jun 30, 2023 | 1.93 Bn |
| Mar 31, 2023 | 1.86 Bn |
| Dec 31, 2022 | 1.73 Bn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 527.00 Mn |
| Mar 31, 2022 | 626.00 Mn |
| Dec 31, 2021 | 1.42 Bn |
| Sep 30, 2021 | 1.29 Bn |
Metlife Operating Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "MET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();